




"""simple docstring"""




import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np



def        a__					(							snake_case__			,					snake_case__							)		->   np.array:
			lowerCamelCase      =   F'{sampling_rate}'
			lowerCamelCase      =   """1"""
			lowerCamelCase      =   """f32le"""
			lowerCamelCase      =   [
			    """ffmpeg""",
			    """-i""",
			    """pipe:0""",
			    """-ac""",
			    ac,
			    """-ar""",
			    ar,
			    """-f""",
			    format_for_conversion,
			    """-hide_banner""",
			    """-loglevel""",
			    """quiet""",
			    """pipe:1""",
			]

			try:
						with subprocess.Popen(snake_case__			,					stdin=subprocess.PIPE			,					stdout=subprocess.PIPE							) as ffmpeg_process:
									lowerCamelCase      =   ffmpeg_process.communicate(snake_case__							)
			except FileNotFoundError as error:
						raise ValueError("""ffmpeg was not found but is required to load audio files from filename"""							) from error
			lowerCamelCase      =   output_stream[0]
			lowerCamelCase      =   np.frombuffer(snake_case__			,					np.floataa							)
			if audio.shape[0] == 0:
						raise ValueError("""Malformed soundfile"""							)
			return audio



def        a__					(							snake_case__			,					snake_case__			,					snake_case__ = "f32le"			,					)		->   Optional[Any]:
			lowerCamelCase      =   F'{sampling_rate}'
			lowerCamelCase      =   """1"""
			if format_for_conversion == "s16le":
						lowerCamelCase      =   2
			elif format_for_conversion == "f32le":
						lowerCamelCase      =   4
			else:
						raise ValueError(F'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'							)

			lowerCamelCase      =   platform.system()
			if system == "Linux":
						lowerCamelCase      =   """alsa"""
						lowerCamelCase      =   """default"""
			elif system == "Darwin":
						lowerCamelCase      =   """avfoundation"""
						lowerCamelCase      =   """:0"""
			elif system == "Windows":
						lowerCamelCase      =   """dshow"""
						lowerCamelCase      =   """default"""

			lowerCamelCase      =   [
			    """ffmpeg""",
			    """-f""",
			    format_,
			    """-i""",
			    input_,
			    """-ac""",
			    ac,
			    """-ar""",
			    ar,
			    """-f""",
			    format_for_conversion,
			    """-fflags""",
			    """nobuffer""",
			    """-hide_banner""",
			    """-loglevel""",
			    """quiet""",
			    """pipe:1""",
			]
			lowerCamelCase      =   int(round(sampling_rate * chunk_length_s							)							) * size_of_sample
			lowerCamelCase      =   _ffmpeg_stream(snake_case__			,					snake_case__							)
			for item in iterator:
						yield item



def        a__					(							snake_case__			,					snake_case__			,					snake_case__ = None			,					snake_case__ = None			,					snake_case__ = "f32le"			,					)		->   Optional[int]:
			if stream_chunk_s is not None:
						lowerCamelCase      =   stream_chunk_s
			else:
						lowerCamelCase      =   chunk_length_s

			lowerCamelCase      =   ffmpeg_microphone(snake_case__			,					snake_case__			,					format_for_conversion=snake_case__							)
			if format_for_conversion == "s16le":
						lowerCamelCase      =   np.intaa
						lowerCamelCase      =   2
			elif format_for_conversion == "f32le":
						lowerCamelCase      =   np.floataa
						lowerCamelCase      =   4
			else:
						raise ValueError(F'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'							)

			if stride_length_s is None:
						lowerCamelCase      =   chunk_length_s / 6
			lowerCamelCase      =   int(round(sampling_rate * chunk_length_s							)							) * size_of_sample
			if isinstance(snake_case__			,					(int, float)							):
						lowerCamelCase      =   [stride_length_s, stride_length_s]

			lowerCamelCase      =   int(round(sampling_rate * stride_length_s[0]							)							) * size_of_sample
			lowerCamelCase      =   int(round(sampling_rate * stride_length_s[1]							)							) * size_of_sample
			lowerCamelCase      =   datetime.datetime.now()
			lowerCamelCase      =   datetime.timedelta(seconds=snake_case__							)
			for item in chunk_bytes_iter(snake_case__			,					snake_case__			,					stride=(stride_left, stride_right)			,					stream=snake_case__							):
						# Put everything back in numpy scale
						lowerCamelCase      =   np.frombuffer(item["""raw"""]			,					dtype=snake_case__							)
						lowerCamelCase      =   (
						    item["""stride"""][0] // size_of_sample,
						    item["""stride"""][1] // size_of_sample,
						)
						lowerCamelCase      =   sampling_rate
						audio_time += delta
						if datetime.datetime.now() > audio_time + 10 * delta:
									# We're late !! SKIP
									continue
						yield item



def        a__					(							snake_case__			,					snake_case__			,					snake_case__			,					snake_case__ = False							)		->   Tuple:
			lowerCamelCase      =   b""""""
			lowerCamelCase ,  lowerCamelCase      =   stride
			if stride_left + stride_right >= chunk_len:
						raise ValueError(
						    F'Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}'							)
			lowerCamelCase      =   0
			for raw in iterator:
						acc += raw
						if stream and len(snake_case__							) < chunk_len:
									lowerCamelCase      =   (_stride_left, 0)
									yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
						else:
									while len(snake_case__							) >= chunk_len:
												# We are flushing the accumulator
												lowerCamelCase      =   (_stride_left, stride_right)
												lowerCamelCase      =   {"""raw""": acc[:chunk_len], """stride""": stride}
												if stream:
															lowerCamelCase      =   False
												yield item
												lowerCamelCase      =   stride_left
												lowerCamelCase      =   acc[chunk_len - stride_left - stride_right :]
    # Last chunk
			if len(snake_case__							) > stride_left:
						lowerCamelCase      =   {"""raw""": acc, """stride""": (_stride_left, 0)}
						if stream:
									lowerCamelCase      =   False
						yield item



def        a__					(							snake_case__			,					snake_case__							)		->   Any:
			lowerCamelCase      =   2**24  # 16Mo
			try:
						with subprocess.Popen(snake_case__			,					stdout=subprocess.PIPE			,					bufsize=snake_case__							) as ffmpeg_process:
									while True:
												lowerCamelCase      =   ffmpeg_process.stdout.read(snake_case__							)
												if raw == b"":
															break
												yield raw
			except FileNotFoundError as error:
						raise ValueError("""ffmpeg was not found but is required to stream audio files from filename"""							) from error









"""simple docstring"""




import warnings

from .generation import TFGenerationMixin






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''
				# warning at import time
				warnings.warn(
				    "Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will "
				    "be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead."		,   UpperCAmelCase__		,   )



